Hayati Yurtoğlu's repositories
Art_by_DCGAN
This code sets up and trains a GAN to generate artwork images using Keras and TensorFlow, defining and compiling discriminator and generator networks, and saving results.
audio_classification_with_ann
Ann for Audio classification.
audio_processing_for_cnn_network
Spectrum creation is the most important thing while dealing with audio data
auto_encoder_colorizationV2
Train auto-encoder model to colorize grayscale images.
autoencoder_colorization
Colorizes grayscale images using a loaded model and displays original and predicted colorized versions.
autoencoder_deblurring
Python autoencoder to remove blur from images
Cell_Classification_CNN
This code trains a CNN in Keras to classify cell images (infected/uninfected). It sets up data generators, defines model architecture with convolutional layers, applies regularization, configures callbacks, and trains the model for binary classification.
Cryptocurrency_Time_Series_Rnn
Python script for training a Simple RNN model on cryptocurrency price data to predict future prices, including data exploration and evaluation
data_analysis_heart_attack
Heart attack data analysis with python
Data_analysis_ml_methods_autoencoder
This code loads network data, preprocesses it, reduces dimensions with an autoencoder, and trains multiple classifiers (KNN, RF, LR, SVM) for anomaly detection.
Data_Analysis_Project
Financial data analysis: preprocess, visualize, calculate technical indicators.
DCGAN_mnsit
This code implements a DCGAN to generate realistic images of handwritten digits from the MNIST dataset, training the generator and discriminator alternatively for a set number of epochs.
flm_reviews_analysis
Sentiment analysis using ML classifiers for text data.
Football_Player_Detection_YoloV8
detect football player, ball, goalkeeper, refree with custom trained yolo wieghts
HayatiYrtgl
Config files for my GitHub profile.
Image-Feature-Matching-with-Julia
Image Feature Matching with Julia using freak descriptor
julia-image-classification-svm
The code loads dog and cat images, extracts HOG descriptors, labels them, splits the data into training and test sets, trains an SVM model, and predicts a test image.
Julia_Text_Preprocessing_For_NLP
Tokenizer for nlp training with julia language
Lstm_Time_SeriesV2
The code downloads Microsoft stock data, preprocesses it, builds and trains a deep learning model, and visualizes predictions.
ML_divorce_Classification-with-5-models
The code performs data preprocessing, machine learning model training, evaluation, and model saving for a binary classification problem on the divorce dataset.
my_first_gan
"Generative Adversarial Network (GAN) for digit '0' generation from MNIST."
NMF_Topic_modeling_sklearn
Python code to implement nmf with sklearn
scrapy_amazon_project
Scrapy bot to crawl amazon website
topic_modeling_sklearn_LDA
Python code: Uses LDA for topic modeling on text data.
WGAN-gp-ART
Using WGAN-gp and creating art portraits.
wiki_art_crap
Asynchronous web scraper for downloading painting images.